Cargando…
Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma
Gastric cancer (GC) is one of the leading causes of cancer-related deaths throughout China and worldwide. The discovery of microRNAs (miRNAs) has provided a new opportunity for developing diagnostic biomarkers and effective therapeutic targets in GC. By performing microarray analyses of benign and m...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741736/ https://www.ncbi.nlm.nih.gov/pubmed/26460735 |
_version_ | 1782414058526343168 |
---|---|
author | Zhang, Xiaojing Peng, Yin Jin, Zhe Huang, Weiling Cheng, Yulan Liu, Yudan Feng, Xianling Yang, Mengting Huang, Yong Zhao, Zhenfu Wang, Liang Wei, Yanjie Fan, Xinmin Zheng, Duo Meltzer, Stephen J. |
author_facet | Zhang, Xiaojing Peng, Yin Jin, Zhe Huang, Weiling Cheng, Yulan Liu, Yudan Feng, Xianling Yang, Mengting Huang, Yong Zhao, Zhenfu Wang, Liang Wei, Yanjie Fan, Xinmin Zheng, Duo Meltzer, Stephen J. |
author_sort | Zhang, Xiaojing |
collection | PubMed |
description | Gastric cancer (GC) is one of the leading causes of cancer-related deaths throughout China and worldwide. The discovery of microRNAs (miRNAs) has provided a new opportunity for developing diagnostic biomarkers and effective therapeutic targets in GC. By performing microarray analyses of benign and malignant gastric epithelial cell lines (HFE145, NCI-N87, MKN28, RF1, KATO III and RF48), 16 significantly dysregulated miRNAs were found. 11 of these were validated by real-time qRT-PCR. Based on miRWalk online database scans, 703 potential mRNA targets of the 16 miRNAs were identified. Bioinformatic analyses suggested that these dysregulated miRNAs and their predicted targets were principally involved in tumor pathogenesis, MAPK signaling, and apoptosis. Finally, miRNA-gene network analyses identified miRNA-125b as a crucial miRNA in GC development. Taken together, these results develop a comprehensive expression and functional profile of differentially expressed miRNAs related to gastric oncogenesis. This profile may serve as a potential tool for biomarker and therapeutic target identification in GC patients. |
format | Online Article Text |
id | pubmed-4741736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-47417362016-03-11 Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma Zhang, Xiaojing Peng, Yin Jin, Zhe Huang, Weiling Cheng, Yulan Liu, Yudan Feng, Xianling Yang, Mengting Huang, Yong Zhao, Zhenfu Wang, Liang Wei, Yanjie Fan, Xinmin Zheng, Duo Meltzer, Stephen J. Oncotarget Research Paper Gastric cancer (GC) is one of the leading causes of cancer-related deaths throughout China and worldwide. The discovery of microRNAs (miRNAs) has provided a new opportunity for developing diagnostic biomarkers and effective therapeutic targets in GC. By performing microarray analyses of benign and malignant gastric epithelial cell lines (HFE145, NCI-N87, MKN28, RF1, KATO III and RF48), 16 significantly dysregulated miRNAs were found. 11 of these were validated by real-time qRT-PCR. Based on miRWalk online database scans, 703 potential mRNA targets of the 16 miRNAs were identified. Bioinformatic analyses suggested that these dysregulated miRNAs and their predicted targets were principally involved in tumor pathogenesis, MAPK signaling, and apoptosis. Finally, miRNA-gene network analyses identified miRNA-125b as a crucial miRNA in GC development. Taken together, these results develop a comprehensive expression and functional profile of differentially expressed miRNAs related to gastric oncogenesis. This profile may serve as a potential tool for biomarker and therapeutic target identification in GC patients. Impact Journals LLC 2015-10-07 /pmc/articles/PMC4741736/ /pubmed/26460735 Text en Copyright: © 2015 Zhang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhang, Xiaojing Peng, Yin Jin, Zhe Huang, Weiling Cheng, Yulan Liu, Yudan Feng, Xianling Yang, Mengting Huang, Yong Zhao, Zhenfu Wang, Liang Wei, Yanjie Fan, Xinmin Zheng, Duo Meltzer, Stephen J. Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title | Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title_full | Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title_fullStr | Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title_full_unstemmed | Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title_short | Integrated miRNA profiling and bioinformatics analyses reveal potential causative miRNAs in gastric adenocarcinoma |
title_sort | integrated mirna profiling and bioinformatics analyses reveal potential causative mirnas in gastric adenocarcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741736/ https://www.ncbi.nlm.nih.gov/pubmed/26460735 |
work_keys_str_mv | AT zhangxiaojing integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT pengyin integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT jinzhe integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT huangweiling integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT chengyulan integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT liuyudan integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT fengxianling integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT yangmengting integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT huangyong integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT zhaozhenfu integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT wangliang integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT weiyanjie integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT fanxinmin integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT zhengduo integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma AT meltzerstephenj integratedmirnaprofilingandbioinformaticsanalysesrevealpotentialcausativemirnasingastricadenocarcinoma |